Results 251 to 260 of about 10,081 (286)
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Imaging in osteomyelitis in the growing skeleton
Der Orthopäde, 1997In acute osteomyelitis of childhood a rapid diagnosis and initiation of antibiotic therapy is necessary in order to prevent late sequelae. Thus, diagnostic imaging plays a crucial role. If acute osteomyelitis is suspected in a child, imaging starts with conventional radiography in order to exclude other differential diagnoses.
Birgit, Zieger, H, Elser, J, Tröger
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Skeletonization of labeled gray-tone images
Image and Vision Computing, 2005A gray-tone image including perceptually meaningful elongated regions can be represented by a set of line patterns, the skeleton, consisting of pixels having different gray-values and mostly placed along the central positions of the regions themselves.
C Arcelli, L Serino
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Revisiting Skeletons from Natural Images
2015In the last two decades there have been several works promoting shape fields that implicitly encode local convexity/concavity properties of the shape boundary. These shape fields are formulated either as solutions to Poisson type PDEs or via heuristic approximations to them.
Erkut Erdem, Sibel Tari
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2006
The role for PET imaging of the skeleton is evolving. It is possible that 18F-fluoride PET may have incremental value in detecting bone metastases over conventional bone scintigraphy, but this has yet to be established. A role may also exist for quantitative studies using 18F-fluoride PET for research or clinical applications where there is a need to ...
Gary J. R. Cook +2 more
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The role for PET imaging of the skeleton is evolving. It is possible that 18F-fluoride PET may have incremental value in detecting bone metastases over conventional bone scintigraphy, but this has yet to be established. A role may also exist for quantitative studies using 18F-fluoride PET for research or clinical applications where there is a need to ...
Gary J. R. Cook +2 more
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Computing the curve-skeletons of images
International Journal of Computer Mathematics, 2008In this paper, an automatic algorithm that extracts a curve-skeleton (1-D centreline) from 2-D binary images is described. From the discretized data of the image/object, the potential field is computed resulting in a vector field defined over the entire object.
Yatharth Saraf +2 more
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Research on Skeletonization of Palmprint Image
2007 Third International IEEE Conference on Signal-Image Technologies and Internet-Based System, 2007Skeletonization is an important procedure of automated palmprint identification system based on the characteristic of minutiae. Skeleton acquired by traditional thinning algorithms will produce many spurious minutiae which are caused by spurs and misconnections between ridges.
Yuanfang Liu +3 more
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Morphological skeletonization for medical image compression
[1992] Proceedings Fifth Annual IEEE Symposium on Computer-Based Medical Systems, 2003The authors introduce a lossless data compression technique based on the morphological skeleton representation. Mathematical morphology is a methodology for image analysis which provides a means for describing the geometrical structure of an image quantitatively.
T.-W. Pai, J.H.L. Hansen
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Skeleton-based morphing between sketching images
2010 3rd International Congress on Image and Signal Processing, 2010Image morphing techniques is to produce continuous evolution between two images. It has practical application in scientific visualization and animation in films and advertising industries. Most traditional methods require users to prescribe correspondence with pairs of features between source and target images manually. However, if they have no similar
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Imaging trauma of the appendicular skeleton
Imaging, 2007Good quality trauma reporting depends upon:Sound reporting techniqueGood quality radiographyAppropriate use of imagingGood quality clinical information The safe imaging and interpretation of appendicular injuries requires a thorough understanding and implementation of some basic principles.
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Distance-based skeletonization of 3D images
Proceedings of Digital Processing Applications (TENCON '96), 2002A new algorithm for determining the skeleton of a 3D binary image is presented. A topological approach is taken in which the exterior points of the image are sequentially deleted while preserving the image's topology. The order in which exterior points are processed is important, as different orderings produce different skeletons.
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